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English Information

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Authors
# Name
1 Samuel Torres(samuelrt@posgrad.lncc.br)
2 Rocio Zorrilla(romizc@lncc.br)
3 Raphael Saldanha(rfsaldanha@gmail.com)
4 Victor Riberiro(victorr@posgrad.lncc.br)
5 Eduardo Pena(eduardopena@utfpr.edu.br)
6 Fabio Porto (fporto@lncc.br)

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Reference
# Reference
1 Angelo, A. (2016). A brief introduction to quadtrees and their applications. In Style file from the 28th Canadian Conference on Computational Geometry
2 Basu, D. and Sengupta, S. (2015). A novel quad tree based data clustering technique. In 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pages 157–162. IEEE.
3 Kaufman, L. and Rousseeuw, P. J. (2009). Finding groups in data: an introduction to cluster analysis. John Wiley & Sons.
4 MacQueen, J. et al. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, volume 1, pages 281–297. Oakland, CA, USA.
5 Montero-Manso, P. and Hyndman, R. J. (2021). Principles and algorithms for forecasting groups of time series: Locality and globality. International Journal of Forecasting, 37(4):1632–1653.
6 Ribeiro, V., Pena, E. H., Saldanha, R., Akbarinia, R., Valduriez, P., Khan, F. A., Stoyanovich, J., and Porto, F. (2023). Subset modelling: A domain partitioning strategy for data-efficient machine-learning. In Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados, pages 318–323. SBC.
7 Sakoe, H. and Chiba, S. (2003). Dynamic programming algorithm optimization for spoken word recognition. IEEE transactions on acoustics, speech, and signal processing, 26(1):43–49.
8 Singhal, A. and Seborg, D. E. (2005). Clustering multivariate time-series data. Journal of Chemometrics: A Journal of the Chemometrics Society, 19(8):427–438.
9 Zorrilla Coz, R. M. (2021). A Spatial-Temporal Aware Model Selection for Time Series Analysis. PhD thesis, Laboratório Nacional de Computação Cientifica, Petrópolis, RJ, Brasil. Thesis for the degree of Doctor of Sciences in Computational Modeling.